CN103903270A - Regularized valid characteristic section selecting method of optical fiber link monitoring signals - Google Patents
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Abstract
The invention relates to a regularized valid characteristic section selecting method of optical fiber link monitoring signals. A valid signal characteristic section only containing specific external disturbance information is extracted from the optical fiber link monitoring mixed signals polluted by noise. By means of the regularized valid characteristic section selecting method, the starting position and the stopping position of disturbance signals are firstly determined in cooperation with a classical threshold value method and the disturbance duration time, all valid signal sections are detected and marked, position information of the valid signals of the valid signal sections is stored, the signal section best representing the current disturbance is picked out according to the maximum-energy and highest-signal to noise ratio combined method, and the position information of the characteristic sections is stored. Finally, regularized processing is further carried out on the obtained signals, and differences capable of influencing followed characteristic extraction are eliminated on the time domain.
Description
Technical field
The wide-field full-optical fiber defence systems such as circumference security protection are mainly used in airport, oil depot, and the real-time monitoring in the wide and region that level of security demand is high of the floor areas such as long-distance transmission pipeline, saves manpower and improves the safety coefficient in facility region.The present invention is the choosing method that is specifically applied to the Regularization useful signal section of optical fiber link detection signal pattern-recognition, belongs to the application of broad domain all-optical fiber disturbance sensing and positioning system.
Background technology
Along with scientific and technical development and the raising of social level, in society, labile factor is also increasing.In order to guarantee the safety in great installation region, as oil and natural gas industry, Aero-Space base, civilian capital construction, communications and transportation etc.Safety monitoring system mainly contains infrared two-way emission type, microwave correlation, vibration wireline formula, reveals the circumference safety-protection systems such as cable type, electronic impulse fence type both at home and abroad at present, more than belongs to traditional safety defense monitoring system, has the shortcoming that cannot overcome separately.The new distribution type Security alert system that meets existing situation needs based on phase place OTDR light chain supervisory system.
20 century 70s, along with the development of optical-fibre communications and optical fiber sensing technology has produced Fibre Optical Sensor, the variation of the physical quantitys such as energy sensing temperature, pressure, electric current, magnetic, sound, light, bending, movement.Distributed Optical Fiber Sensing Techniques use reaches the optical fiber of several kilometers as the sensing element extending, and signal sensing and the transmission unit simultaneously of any one unit on optical fiber, obtains the uninterrupted variation on time and space along optical fiber of extraneous measurand.Fundamentally having broken through the restriction that traditional single-point detects, is distributed fiberoptic sensor truly.Because optical fiber has that loss is few, transport tape is roomy, anti-high pressure, corrosion-resistant, be not subject to the interference of electromagnetic field, lightweight, disturbance sensitivity to external world, make this technology there is very high sensitivity and real-time, be highly suitable for outdoor long distance in practical application project, interior security monitoring and protection on a large scale, be especially applicable to using in the rugged surroundings such as high temperature, nuclear radiation.
Pattern recognition module is in the time that security protection front end system detects current extraneous generation disturbance, differentiate at once the classification of disturbing signal and inform staff, automatically threaten the disturbance of character and safe perturbing area to separate by having, staff only need go to scene to process in the time of dangerous invasion.Can greatly save manpower patrol maintenance, and can fix a point to find in real time and invade and harass point and judgement invasion type source, greatly promote security protection efficiency.
The present invention is the useful signal characteristic segments choosing method that is applied to the pattern-recognition of optical fiber link monitor signal, from being extracted the useful signal section that only contains extraneous specific disturbance information the optical fiber link of noise pollution monitoring mixed signal.When disturbance is repeatedly concentrated while occurring in very in the short time, in the mixed signal collecting according to the fixed cycle, often comprise the useful signal of more than one section of specific disturbance.And for one extremely short period, multiple signal analysis meeting causes the waste of resource, reduce accuracy of analysis, and can bring staff many unnecessary troubles.Therefore, first the present invention determines the start-stop position of disturbing signal in conjunction with classical threshold method and disturbance duration, detect all useful signal sections, then according to picking out the signal segment that can represent current disturbance in conjunction with ceiling capacity and highest signal to noise ratio method.Finally the signal obtaining is done to further regularization, in time domain, the difference exerting an influence is extracted in elimination meeting to subsequent characteristics.
Summary of the invention
Technical matters: the validity feature section choosing method that the object of the invention is to provide for optical fiber link monitor signal pattern recognition system a kind of Regularization.Optical fiber link monitor signal after denoising is processed, solve existing method to being in useful signal section undetected of signal tail end, from multistage useful signal section, select and can represent the signal segment of current disturbance and do regular, improve the accuracy of pattern-recognition, reached better monitoring object.
Technical scheme: the present invention is directed to the optical fiber link monitor signal through denoising being collected by wide-field full-optical fiber sensing monitoring and early warning safety-protection system, proposed the choosing method of monitor signal validity feature section.The content that implementation procedure of the present invention comprises three aspects::
1. determine that in conjunction with classical threshold method and disturbance duration the start-stop position of effective signal segment detects all useful signal sections, records the start-stop position of effective signal segment;
2. pick out the signal segment that can represent current disturbance in conjunction with ceiling capacity and highest signal to noise ratio method, obtain validity feature section;
3. pair validity feature section is done regularization, and in time domain, the difference exerting an influence is extracted in elimination meeting to subsequent characteristics.
The method that uses classical threshold method and disturbance duration to combine determines that the more general energy method of the method for effective signal segment is simple, calculated amount is little, and increase the length information of signal by the calculation perturbation duration, from two aspect restrict detects, made the start-stop position of useful signal section more accurate.The optical fiber link monitor signal duration 2s that the present invention uses, discrete in time domain is 20480 signaling points, therefore, the calculation perturbation duration can count to realize by adding up effective signal.
Specific implementation process of the present invention is as shown in Figure 1:
Read one section of optical fiber link monitor signal through denoising, computational length N, the each parameter of initialization, agreement state 0 represents that current point is that invalid signals state, state 1 represent that current point is to judge that state, state 2 represent that current point is useful signal state, enters circulation and starts node-by-node algorithm.
Wherein, the threshold value thresh of useful signal point, invalid signals the count value of lower limit dvalue of upper limit lenc2 and useful signal of counting need to be pre-estimated.Getting thresh is 1/2 of each section of maximal value average in optical fiber link monitor signal, and lenc gets empirical value 200, and devalue gets empirical value 700.
Read the first point, if the absolute value of first amplitude is less than threshold value thresh, go to step 1, if the absolute value of first amplitude is greater than threshold value thresh, go to step 2;
Step 1: judging current is invalid signals point, effectively counter C1 zero clearing, gets the hang of 0; Read next point, be less than threshold value thresh if newly read the absolute value of an amplitude, go to step 1, be greater than threshold value thresh if newly read the absolute value of an amplitude, go to step 2;
Step 2: judging current is useful signal point, effectively counter C1 adds 1, invalid counter C2 zero clearing, the starting point that current point is useful signal, record start position start, gets the hang of 1; Read next point, be greater than threshold value thresh if newly read the absolute value of an amplitude, go to step 3, be less than threshold value thresh if newly read the absolute value of an amplitude, go to step 4;
Step 3: judging current is useful signal point, effectively counter C1 adds 1, invalid counter C2 zero clearing, check whether circulation finishes, being whether current point is last point of optical fiber link monitor signal, is also N point, is to go to step 5, otherwise get the hang of 1, read next point, be greater than threshold value thresh if newly read the absolute value of an amplitude, go to step 3, be less than threshold value thresh if newly read the absolute value of an amplitude, go to step 4;
Step 4: tentative current point is invalid signals point, judge whether invalid counter C2 is less than permissible value lenc2, if be less than lenc2, show that current demand signal point may be separated by between not far useful signal point at two, still judge that current point is useful signal point, effectively counter C1 adds 1, checking whether circulation finishes, and whether current point is last point of optical fiber link monitor signal, is also N point, be to go to step 5, otherwise go to step 6; If invalid counter C2 is greater than lenc2, show that invalid signals counts abundantly, be also that the length that useful signal point has lasted up to lenc2 does not occur, can think that useful signal finishes, judge that current point is invalid signals point really, invalid counter C2 adds 1, goes to step 6;
Step 5: recording current point is the position end that useful signal section finishes, useful signal section reference position start and useful signal section end position end are preserved in location cache, signal segment between start and end is confirmed as useful signal section, useful signal hop count segment adds 1, effectively counter C1 and the equal zero clearing of invalid counter C2, if all N point circulated complete, finish, otherwise, again persistent state 0, start to search next useful signal section, read next point, be less than threshold value thresh if newly read the absolute value of an amplitude, go to step 1, be greater than threshold value thresh if newly read the absolute value of an amplitude, go to step 2,
Step 6: judge whether effective counter C1 and invalid counter C2 difference are less than predetermined value dvalue, to show that the useful signal section that previously note had arrived is too short, be considered as noise section, effectively counter C1, invalid counter C2, the equal zero clearing of reference position start, again persistent state 0, start to search next useful signal section, read next point, if the absolute value of current some amplitude is less than threshold value thresh, go to step 1, if the absolute value of current some amplitude is greater than threshold value thresh, go to step 2; If effectively counter C1 and invalid counter C2 difference are greater than predetermined value dvalue, get the hang of 2, the end position that has found useful signal section is described, go to step 5.
The useful signal section of state 0, state 1, state 2 is chosen circulation process figure as shown in Figure 2.
In a whole segment signal, likely do not comprise effective signal segment, also likely comprise even three of a useful signal section or two useful signal sections, in the time that the useful signal section detecting is greater than one, the feature that later use WAVELET PACKET DECOMPOSITION calculates is all useful signal section feature sums, cannot represent that participating in classification as the feature of current interfere information differentiates, moreover repeatedly report to the police and there is no actual necessity within such short time of 1s-2s, can cause the waste of computational resource, give and process the on-the-spot staff trouble of taking of reporting to the police.Therefore the present invention regulation, a whole segment signal only retains wherein one section of useful signal of tool characteristic so that comparing one by one of pattern-recognition utilizes ceiling capacity to pick out characteristic signal section in conjunction with the method for highest signal to noise ratio.
According to the each section of start-stop position of preserving, useful signal section is determined, calculate respectively energy and the signal to noise ratio (S/N ratio) of each section of useful signal, using two the highest to energy maximum, signal to noise ratio (S/N ratio) segment signals as initial characteristics segment mark out.If
e1 is the energy of energy largest segment, and S1 is the signal to noise ratio (S/N ratio) of energy largest segment, and E2 is the energy of the highest section of signal to noise ratio (S/N ratio), S2 is the signal to noise ratio (S/N ratio) of the highest section of signal to noise ratio (S/N ratio), select the signal segment of energy maximum to retain as validity feature section, otherwise, select the signal segment of signal to noise ratio (S/N ratio) maximum to retain as validity feature section.The energy and the signal to noise ratio (S/N ratio) that solve useful signal section are the keys of selecting properly characteristic segments.Solving of energy is comparatively simple, and the quadratic sum of useful signal section each point amplitude is energy.If E represents energy, x
irepresent the amplitude of each point in each useful signal section, i=1,2 ..., N, the total length that N is signal.The computing formula of E is:
For the calculating of signal to noise ratio (S/N ratio), the present invention uses the method for estimation of random signal signal to noise ratio (S/N ratio).
Signal to noise ratio (S/N ratio), i.e. SNR, reaction signal is subject to the degree of noise pollution, refers generally to the power of signal and the ratio of noise power, and conventional decibels represents:
Wherein, signalpower is the signal power after denoising, and noisepower is noise power.Leave strip noise cancellation signal herein, obtains the corresponding section of corresponding signals with noise according to being stored in middle useful signal fragment position information, and noisepower equals signals with noise power and deducts signalpower, then obtains according to the computing formula that provides above SNR.Characteristic segments is chosen flow process as shown in Figure 3.
For same segment signal, if it is done in time domain to translation, it is different that the time-frequency domain information obtaining after WAVELET PACKET DECOMPOSITION and original signal directly carry out the time-frequency domain information that WAVELET PACKET DECOMPOSITION obtains.Reason is that wavelet packet analysis can be located time domain and frequency domain simultaneously, is a kind of analysis on time-frequency domain, has comprised the two-part information of time domain and frequency domain, and has just comprised the information of frequency domain unlike Fourier transform.Observe the characteristic signal section that the present invention chooses, each section all starts from different positions, end at different positions, although because the reason of signal length cannot be accomplished the in full accord of start-stop position in time domain, but can unify the starting position of characteristic signal, therefore the present invention does regularization to validity feature section, and in time domain, the difference exerting an influence is extracted in elimination meeting to subsequent characteristics.Although Regularization is simple, actually very necessary.If Fig. 4 is the characteristic signal extracting, Fig. 5 is the eigenwert obtaining after its WAVELET PACKET DECOMPOSITION, Fig. 6 is the characteristic signal after Regularization, Fig. 7 is characteristic of correspondence value, Fig. 8 is the poor of both eigenwerts, can obviously find out Regularization and the difference of non-Regularization signal segment on time-frequency domain from Fig. 8.
Beneficial effect:
1. the Regularization validity feature section choosing method of optical fiber link monitor signal is by arranging effective signaling point counter C1 and invalid signals point counter C2, add up respectively useful signal point and invalid signals point, at signal tail end, if invalid signals point is less than invalid signals point upper limit lenc2 and current point while being last point of signal, record the end position end that current point is useful signal section, solve undetected to useful signal section at signal tail end of existing method;
2. one section of optical fiber link monitor signal often comprises multistage useful signal, and each section of useful signal all represented a kind of specific disturbance, the feature that later use WAVELET PACKET DECOMPOSITION calculates is all useful signal section feature sums, cannot represent that participating in classification as the feature of current interfere information differentiates, the validity feature section that the present invention chooses out from the similar useful signal of multistage is the signal segment of tool perturbation features;
3. pair validity feature section is through regularization, and in time domain, the difference exerting an influence is extracted in elimination meeting to subsequent characteristics.
The follow-up WAVELET PACKET DECOMPOSITION feature extraction of above-mentioned 3 promise more effectively, with accurate, is applied to, in optical fiber link monitor signal pattern recognition system, can effectively improve stability and the accuracy of classification.
Accompanying drawing explanation
The Regularization validity feature section extracting method specific implementation Principle of Process figure of Fig. 1 based on ceiling capacity optical fiber link monitor signal.
The useful signal section of Fig. 2 state 0, state 1, state 2 is extracted circulation process figure.
Fig. 3 validity feature section is extracted process flow diagram.
The validity feature section figure that Fig. 4 extracts.
Fig. 5 characteristic segments WAVELET PACKET DECOMPOSITION characteristic pattern.
Characteristic segments figure after Fig. 6 Regularization.
The characteristic segments WAVELET PACKET DECOMPOSITION characteristic pattern of Fig. 7 Regularization.
The disparity map of feature after Fig. 8 characteristic segments WAVELET PACKET DECOMPOSITION feature and Regularization.
The fine link monitoring signal of Fig. 9 grandfather tape din-light.
Optical fiber link monitor signal after Figure 10 denoising.
The useful signal section that Figure 11 extracts.
The validity feature section that Figure 12 extracts.
In figure:
Thresh: the threshold value C1 that is judged as useful signal point: useful signal point counter
C2: invalid signals point counter start: useful signal section starting point
End: useful signal section end point segment: useful signal hop count
Lenc2: the invalid signals upper limit dvalue that counts: the useful signal lower limit of counting
Embodiment
A kind of Regularization validity feature section choosing method of optical fiber link monitor signal, it is characterized in that determining in conjunction with classical threshold method and disturbance duration the start-stop position of effective signal segment, disturbance duration is transferred to by the signal sign of counting, detect all useful signal sections, the positional information of storing each section of useful signal; Pick out the validity feature section that can represent current disturbance in conjunction with ceiling capacity and highest signal to noise ratio method, store the positional information of described validity feature section; Validity feature section is done to regularization, and in time domain, the difference exerting an influence is extracted in elimination meeting to subsequent characteristics.In the present embodiment,
Determine that in conjunction with classical threshold method and disturbance duration the method for effective signal segment start-stop position is as follows: first get one section of optical fiber link monitor signal through denoising, computational length N, the unit of length N is a little, initialization threshold value, enters people's beginning node-by-node algorithm that circulates, and reads the first point, if the absolute value of first amplitude is less than threshold value thresh, go to step 1, if the absolute value of first amplitude is greater than threshold value thresh, go to step 2;
Step 1: judging current is invalid signals point, effectively counter C1 zero clearing, gets the hang of 0; Read next point, be less than threshold value thresh if newly read the absolute value of an amplitude, repeating step 1, is greater than threshold value thresh if newly read the absolute value of an amplitude, goes to step 2;
Step 2: judging current is useful signal point, effectively counter C1 adds 1, invalid counter C2 zero clearing, the starting point that current point is useful signal, record start position start, gets the hang of 1; Read next point, be greater than threshold value thresh if newly read the absolute value of an amplitude, go to step 3, be less than threshold value thresh if newly read the absolute value of an amplitude, go to step 4;
Step 3: judging current is useful signal point, effectively counter C1 adds 1, and invalid counter C2 zero clearing, if the N point that current point is optical fiber link monitor signal goes to step 5; Otherwise get the hang of 1, read next point, be greater than threshold value thresh if newly read the absolute value of an amplitude, repeating step 3, is less than threshold value thresh if newly read the absolute value of an amplitude, goes to step 4;
Step 4: tentative current point is invalid signals point, judges whether invalid counter C2 is less than permissible value lenc2,
If invalid counter C2 is less than lenc2, show that current demand signal point may be separated by between not far useful signal point at two, still judge that current point is useful signal point, effectively counter C1 adds 1, if the N point that current point is optical fiber link monitor signal, goes to step 5, otherwise goes to step 6;
If invalid counter C2 is greater than lenc2, show that the length that useful signal point has lasted up to lenc2 does not occur, think that useful signal finishes, judge that current point is invalid signals point really, invalid counter C2 adds 1, goes to step 6;
Step 5: recording current point is the position end that useful signal section finishes, useful signal section reference position start and useful signal section end position end are preserved in location cache, signal segment between start and end is confirmed as useful signal section, useful signal hop count segment adds 1, effectively counter C1 and the equal zero clearing of invalid counter C2, if it is complete that whole N points have circulated, finish; Otherwise persistent state 0 again, starts to search next useful signal section, reads next point, is less than threshold value thresh if newly read the absolute value of an amplitude, goes to step 1, is greater than threshold value thresh if newly read the absolute value of an amplitude, goes to step 2;
Step 6: judge whether effective counter C1 and invalid counter C2 difference are less than predetermined value dvalue,
If effectively counter C1 and invalid counter C2 difference are less than predetermined value dvalue, show that the useful signal section that previously note had arrived is too short, be considered as noise section, effectively counter C1, invalid counter C2, the equal zero clearing of reference position start, again persistent state 0, and start to search next useful signal section, read next point, if the absolute value of current some amplitude is less than threshold value thresh, go to step 1, if the absolute value of current some amplitude is greater than threshold value thresh, go to step 2;
If effectively counter C1 and invalid counter C2 difference are greater than predetermined value dvalue, get the hang of 2, the end position that has found useful signal section is described, go to step 5.
Get each section of maximal value average in optical fiber link monitor signal 1/2 as judging whether current demand signal point is the threshold value thresh of useful signal point, and the value of rule of thumb getting lenc2 is 200, and the value of rule of thumb getting dvalue is 700.
Calculate energy and the signal to noise ratio (S/N ratio) of each useful signal section, the energy of each useful signal section is the quadratic sum of each point amplitude in described each useful signal section, the signal to noise ratio (S/N ratio) of each useful signal is tried to achieve by the method for estimation of random signal signal to noise ratio (S/N ratio), select respectively higher section of energy largest segment and signal to noise ratio (S/N ratio), if
e1 is the energy of energy largest segment, and S1 is the signal to noise ratio (S/N ratio) of energy largest segment, and E2 is the energy of the highest section of signal to noise ratio (S/N ratio), S2 is the signal to noise ratio (S/N ratio) of the highest section of signal to noise ratio (S/N ratio), select the signal segment of energy maximum to retain as validity feature section, otherwise, select the signal segment of signal to noise ratio (S/N ratio) maximum to retain as validity feature section.
Described regularization is that each validity feature section of choosing is moved to initial position on time shaft.
This example is used for illustrating the specific embodiment of the present invention and does necessary explanation.Read the fine link signal of grandfather tape din-light with signal to noise ratio (S/N ratio) to be calculated, as shown in Figure 9.Read the optical fiber link monitor signal through denoising, as shown in figure 10.Each signal duration 2s that this example adopts, discrete in time domain is 20480 signaling points, and therefore, the calculation perturbation duration can count to realize by adding up effective signal, and useful signal is counted and is kept in effective counter C1.First set initial parameter, wherein, the threshold value thresh of useful signal point gets 1/2 of each section of maximal value average in optical fiber link monitor signal, the invalid signals upper limit lenc that counts gets empirical value 200, the useful signal lower limit devalue that counts gets empirical value 700, ask for signal total length length, pointwise circulates.The start-stop position of determining effective signal segment in conjunction with classical threshold method and disturbance duration, detects all useful signal sections, and the positional information of preserving each section, and 3 useful signal sections extracting as shown in figure 11.
Calculate energy and the signal to noise ratio (S/N ratio) of each section of useful signal, the energy of each useful signal section is the quadratic sum of each point amplitude in described each useful signal section, establishes E and represents energy, x
irepresent the amplitude of each point in each useful signal section, i=1,2 ..., N, the total length that N is signal.The computing formula of E is:
The signal to noise ratio (S/N ratio) of each useful signal is tried to achieve by the method for estimation of random signal signal to noise ratio snr, and the computing formula of signal to noise ratio snr is:
Wherein, signalpower is the signal power after denoising, and noisepower is noise power.Noise power noisepower equals grandfather tape noise cancellation signal power and deducts denoising signal power signalpower afterwards, then obtains according to the computing formula that provides above signal to noise ratio snr.
Select respectively the highest section of energy largest segment and signal to noise ratio (S/N ratio), if
e1 is the energy of energy largest segment, and S1 is the signal to noise ratio (S/N ratio) of energy largest segment, and E2 is the energy of the highest section of signal to noise ratio (S/N ratio), S2 is the signal to noise ratio (S/N ratio) of the highest section of signal to noise ratio (S/N ratio), select the signal segment of energy maximum to retain as validity feature section, otherwise, select the signal segment of signal to noise ratio (S/N ratio) maximum to retain as validity feature section.
Regularization, obtains final characteristic segments, as shown in figure 12.
Characteristic segments extracting method of the present invention is applied in the pattern recognition system of optical fiber link monitor signal, only retain the most representative characteristic segments, effectively reduce the calculated amount of WAVELET PACKET DECOMPOSITION feature extraction, reduce the support vector number that uses support vector machine training sample, reduce the probability that normal signal is mistaken for unwanted signals, improved the accuracy rate of pattern-recognition.
Claims (6)
1. the Regularization validity feature section choosing method of an optical fiber link monitor signal, it is characterized in that determining in conjunction with classical threshold method and disturbance duration the start-stop position of effective signal segment, disturbance duration is transferred to by the signal sign of counting, detect all useful signal sections, the positional information of storing each section of useful signal; Pick out the validity feature section that can represent current disturbance in conjunction with ceiling capacity and highest signal to noise ratio method, store the positional information of described validity feature section; Validity feature section is done to regularization, and in time domain, the difference exerting an influence is extracted in elimination meeting to subsequent characteristics.
2. the Regularization useful signal section choosing method of optical fiber link monitor signal according to claim 1, it is characterized in that: determine that in conjunction with classical threshold method and disturbance duration the method for effective signal segment start-stop position is as follows: first get one section of optical fiber link monitor signal through denoising, computational length N, the unit of length N is a little, initialization threshold value, enter people's beginning node-by-node algorithm that circulates, read the first point, if the absolute value of first amplitude is less than threshold value thresh, go to step 1, if the absolute value of first amplitude is greater than threshold value thresh, go to step 2;
Step 1: judging current is invalid signals point, effectively counter C1 zero clearing, gets the hang of 0; Read next point, be less than threshold value thresh if newly read the absolute value of an amplitude, repeating step 1, is greater than threshold value thresh if newly read the absolute value of an amplitude, goes to step 2;
Step 2: judging current is useful signal point, effectively counter C1 adds 1, invalid counter C2 zero clearing, the starting point that current point is useful signal, record start position start, gets the hang of 1; Read next point, be greater than threshold value thresh if newly read the absolute value of an amplitude, go to step 3, be less than threshold value thresh if newly read the absolute value of an amplitude, go to step 4;
Step 3: judging current is useful signal point, effectively counter C1 adds 1, and invalid counter C2 zero clearing, if the N point that current point is optical fiber link monitor signal goes to step 5; Otherwise get the hang of 1, read next point, be greater than threshold value thresh if newly read the absolute value of an amplitude, repeating step 3, is less than threshold value thresh if newly read the absolute value of an amplitude, goes to step 4;
Step 4: tentative current point is invalid signals point, judges whether invalid counter C2 is less than permissible value lenc2,
If invalid counter C2 is less than lenc2, show that current demand signal point may be separated by between not far useful signal point at two, still judge that current point is useful signal point, effectively counter C1 adds 1, if the N point that current point is optical fiber link monitor signal, goes to step 5, otherwise goes to step 6;
If invalid counter C2 is greater than lenc2, show that the length that useful signal point has lasted up to lenc2 does not occur, think that useful signal finishes, judge that current point is invalid signals point really, invalid counter C2 adds 1, goes to step 6;
Step 5: recording current point is the position end that useful signal section finishes, useful signal section reference position start and useful signal section end position end are preserved in location cache, signal segment between start and end is confirmed as useful signal section, useful signal hop count segment adds 1, effectively counter C1 and the equal zero clearing of invalid counter C2, if it is complete that whole N points have circulated, finish; Otherwise persistent state 0 again, starts to search next useful signal section, reads next point, is less than threshold value thresh if newly read the absolute value of an amplitude, goes to step 1, is greater than threshold value thresh if newly read the absolute value of an amplitude, goes to step 2;
Step 6: judge whether effective counter C1 and invalid counter C2 difference are less than predetermined value dvalue,
If effectively counter C1 and invalid counter C2 difference are less than predetermined value dvalue, show that the useful signal section that previously note had arrived is too short, be considered as noise section, effectively counter C1, invalid counter C2, the equal zero clearing of reference position start, again persistent state 0, and start to search next useful signal section, read next point, if the absolute value of current some amplitude is less than threshold value thresh, go to step 1, if the absolute value of current some amplitude is greater than threshold value thresh, go to step 2;
If effectively counter C1 and invalid counter C2 difference are greater than predetermined value dvalue, get the hang of 2, the end position that has found useful signal section is described, go to step 5.
3. the Regularization useful signal section choosing method of optical fiber link monitor signal according to claim 2, it is characterized in that: get each section of maximal value average in optical fiber link monitor signal 1/2 as judging whether current demand signal point is the threshold value thresh of useful signal point, the value of rule of thumb getting lenc2 is 200, and the value of rule of thumb getting dvalue is 700.
4. the Regularization useful signal section choosing method of optical fiber link monitor signal according to claim 2, is characterized in that: state 0 represents that current point is that invalid signals state, state 1 represent that current point is to judge that state, state 2 represent that current point is useful signal state.
5. the Regularization useful signal section choosing method of optical fiber link monitor signal according to claim 1, it is characterized in that: energy and the signal to noise ratio (S/N ratio) of calculating each useful signal section, the energy of each useful signal section is the quadratic sum of each point amplitude in described each useful signal section, the signal to noise ratio (S/N ratio) of each useful signal is tried to achieve by the method for estimation of random signal signal to noise ratio (S/N ratio), select respectively higher section of energy largest segment and signal to noise ratio (S/N ratio), if
e1 is the energy of energy largest segment, and S1 is the signal to noise ratio (S/N ratio) of energy largest segment, and E2 is the energy of the highest section of signal to noise ratio (S/N ratio), S2 is the signal to noise ratio (S/N ratio) of the highest section of signal to noise ratio (S/N ratio), select the signal segment of energy maximum to retain as validity feature section, otherwise, select the signal segment of signal to noise ratio (S/N ratio) maximum to retain as validity feature section.
6. the Regularization useful signal section choosing method of optical fiber link monitor signal according to claim 1, is characterized in that: described regularization is that each validity feature section of choosing is moved to initial position on time shaft.
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